Warning: This dashboard was not built by an epidemiologist.

Note: Click a country name to open a search results page for that countryโ€™s COVID-19 news.

Based on data up to: 2021-06-12. Compared to (10 days before): 2021-06-02

Transmission rate:

Note: "transmission rate" here is a measure of speed of spread of infection, and means how much of the susceptible population each infected person is infecting per day (if everyone is susceptible). E.g. 10% means that 100 infected patients will infect 10 new people per day. Related to R0. See Methodology for details of calculation.

โญ• Bad news: new waves ๐Ÿ‡ฟ๐Ÿ‡ฒ ๐Ÿ‡ฟ๐Ÿ‡ผ ๐Ÿ‡ท๐Ÿ‡ผ ๐Ÿ‡ธ๐Ÿ‡ฑ ๐Ÿ‡ฐ๐Ÿ‡ช ๐Ÿ‡ฐ๐Ÿ‡ฒ ๐Ÿ‡ฌ๐Ÿ‡น ๐Ÿ‡ฟ๐Ÿ‡ฆ ๐Ÿ‡ง๐Ÿ‡ผ ๐Ÿ‡ญ๐Ÿ‡ณ ๐Ÿ‡ฌ๐Ÿ‡ง ๐Ÿ‡ณ๐Ÿ‡ฆ ๐Ÿ‡น๐Ÿ‡ณ ๐Ÿ‡ฒ๐Ÿ‡ฉ

Large increase in transmission rate vs. 10 days ago, that might mean a relapse, new wave, worsening outbreak.

  • Countries are sorted by size of change in transmission rate.
  • Includes only countries that were previously active (more than 100 estimated new cases).
  • "Large increase" = at least +2% change.
Current:
Estimated
daily
transmission
rate		 10 days ago:
Estimated
daily
transmission
rate		 Estimated
recent cases
in last 5 days		 Estimated
current
ICU need
per 100k
population		 Estimated
total
affected
population
percentage
๐Ÿ‡ฟ๐Ÿ‡ฒ Zambia 18.0% 4.5% 116,385 0.22 8.6%
๐Ÿ‡ฟ๐Ÿ‡ผ Zimbabwe 11.1% 1.8% 531 0.02 7.3%
๐Ÿ‡ท๐Ÿ‡ผ Rwanda 11.8% 3.4% 9,389 0.05 2.6%
๐Ÿ‡ธ๐Ÿ‡ฑ Sierra Leone 12.5% 4.7% 2,299 0.03 1.0%
๐Ÿ‡ฐ๐Ÿ‡ช Kenya 8.2% 3.5% 68,470 0.16 6.4%
๐Ÿ‡ฐ๐Ÿ‡ฒ Comoros 6.3% 2.2% 293 0.06 14.6%
๐Ÿ‡ฌ๐Ÿ‡น Guatemala 9.3% 5.4% 78,350 1.39 27.6%
๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 13.8% 10.1% 581,917 2.81 51.3%
๐Ÿ‡ง๐Ÿ‡ผ Botswana 4.1% 0.9% 923 1.04 23.1%
๐Ÿ‡ญ๐Ÿ‡ณ Honduras 8.6% 5.4% 74,078 2.54 34.5%
๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom 9.1% 6.0% 30,073 0.50 25.5%
๐Ÿ‡ณ๐Ÿ‡ฆ Namibia 15.1% 12.5% 101,505 6.11 25.9%
๐Ÿ‡น๐Ÿ‡ณ Tunisia 9.5% 7.3% 117,937 5.31 33.9%
๐Ÿ‡ฒ๐Ÿ‡ฉ Moldova 4.2% 2.2% 1,817 0.67 34.8%

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis.

๐ŸŸข Good news: slowing waves ๐Ÿ‡ณ๐Ÿ‡ฌ ๐Ÿ‡ซ๐Ÿ‡ท ๐Ÿ‡ฐ๐Ÿ‡ฌ ๐Ÿ‡ง๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ฒ ๐Ÿ‡ฌ๐Ÿ‡ถ ๐Ÿ‡ฏ๐Ÿ‡ฒ ๐Ÿ‡น๐Ÿ‡ผ ๐Ÿ‡ฒ๐Ÿ‡ฒ ๐Ÿ‡ป๐Ÿ‡ณ ๐Ÿ‡ง๐Ÿ‡ฎ ๐Ÿ‡ฒ๐Ÿ‡พ

Large decrease in transmission rate vs. 10 days ago, that might mean a slowing down / effective control measures.

  • Countries are sorted by size of change in transmission rate.
  • Includes only countries that were previously active (more than 100 estimated new cases).
  • "Large decrease" = at least -2% change.
Current:
Estimated
daily
transmission
rate		 10 days ago:
Estimated
daily
transmission
rate		 Estimated
recent cases
in last 5 days		 Estimated
current
ICU need
per 100k
population		 Estimated
total
affected
population
percentage
๐Ÿ‡ณ๐Ÿ‡ฌ Nigeria 1.0% 12.1% 141 0.00 1.1%
๐Ÿ‡ซ๐Ÿ‡ท France 7.1% 15.1% 26,326 0.71 23.4%
๐Ÿ‡ฐ๐Ÿ‡ฌ Kyrgyzstan 13.0% 19.5% 23,176 0.80 33.4%
๐Ÿ‡ง๐Ÿ‡ญ Bahrain 5.8% 10.6% 20,593 5.27 46.1%
๐Ÿ‡จ๐Ÿ‡ฒ Cameroon 2.0% 6.3% 3,765 0.08 3.4%
๐Ÿ‡ฌ๐Ÿ‡ถ Equatorial Guinea 1.0% 4.5% 149 0.13 9.2%
๐Ÿ‡ฏ๐Ÿ‡ฒ Jamaica 1.9% 5.2% 2,801 0.52 7.3%
๐Ÿ‡น๐Ÿ‡ผ Taiwan* 3.7% 6.7% 7,417 0.52 0.4%
๐Ÿ‡ฒ๐Ÿ‡ฒ Burma 5.2% 8.0% 651 0.01 3.4%
๐Ÿ‡ป๐Ÿ‡ณ Vietnam 6.0% 8.6% 1,902 0.01 0.0%
๐Ÿ‡ง๐Ÿ‡ฎ Burundi 2.7% 5.0% 129 0.00 0.1%
๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 5.6% 7.8% 94,370 1.53 4.2%

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis.

ICU need

โญ• Bad news: higher ICU need ๐Ÿ‡ณ๐Ÿ‡ฆ ๐Ÿ‡จ๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ท ๐Ÿ‡ต๐Ÿ‡พ ๐Ÿ‡น๐Ÿ‡ณ ๐Ÿ‡ฟ๐Ÿ‡ฆ ๐Ÿ‡ฒ๐Ÿ‡ณ ๐Ÿ‡ง๐Ÿ‡ด ๐Ÿ‡ฆ๐Ÿ‡ซ ๐Ÿ‡บ๐Ÿ‡พ ๐Ÿ‡ฐ๐Ÿ‡ฌ ๐Ÿ‡จ๐Ÿ‡ฑ ๐Ÿ‡ด๐Ÿ‡ฒ ๐Ÿ‡น๐Ÿ‡ผ ๐Ÿ‡ซ๐Ÿ‡ท ๐Ÿ‡ฒ๐Ÿ‡พ ๐Ÿ‡ฒ๐Ÿ‡ฝ ๐Ÿ‡ท๐Ÿ‡บ ๐Ÿ‡ฌ๐Ÿ‡น ๐Ÿ‡ฟ๐Ÿ‡ฒ

Large increases in need for ICU beds per 100k population vs. 10 days ago.

  • Only countries for which the ICU need increased by more than 0.2 (per 100k).
Current:
Estimated
ICU need
per 100k
population		 10 days ago:
Estimated
ICU need
per 100k
population		 Estimated
recent cases
in last 5 days		 Estimated
daily
transmission
rate		 Estimated
total
affected
population
percentage
๐Ÿ‡ณ๐Ÿ‡ฆ Namibia 6.11 2.23 101,505 15.1% 25.9%
๐Ÿ‡จ๐Ÿ‡ด Colombia 11.72 9.98 885,680 13.3% 61.6%
๐Ÿ‡ธ๐Ÿ‡ท Suriname 7.94 6.25 9,979 7.1% 26.1%
๐Ÿ‡ต๐Ÿ‡พ Paraguay 12.91 11.67 164,096 11.4% 56.8%
๐Ÿ‡น๐Ÿ‡ณ Tunisia 5.31 4.36 117,937 9.5% 33.9%
๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa 2.81 2.16 581,917 13.8% 51.3%
๐Ÿ‡ฒ๐Ÿ‡ณ Mongolia 1.56 1.01 19,599 6.7% 7.3%
๐Ÿ‡ง๐Ÿ‡ด Bolivia 5.59 5.06 114,618 9.6% 42.9%
๐Ÿ‡ฆ๐Ÿ‡ซ Afghanistan 1.13 0.60 311,681 8.7% 9.0%
๐Ÿ‡บ๐Ÿ‡พ Uruguay 16.53 16.01 37,917 6.2% 22.9%
๐Ÿ‡ฐ๐Ÿ‡ฌ Kyrgyzstan 0.80 0.30 23,176 13.0% 33.4%
๐Ÿ‡จ๐Ÿ‡ฑ Chile 5.23 4.84 96,437 6.8% 33.8%
๐Ÿ‡ด๐Ÿ‡ฒ Oman 1.95 1.60 34,740 8.0% 34.0%
๐Ÿ‡น๐Ÿ‡ผ Taiwan* 0.52 0.21 7,417 3.7% 0.4%
๐Ÿ‡ซ๐Ÿ‡ท France 0.71 0.41 26,326 7.1% 23.4%
๐Ÿ‡ฒ๐Ÿ‡พ Malaysia 1.53 1.24 94,370 5.6% 4.2%
๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 2.37 2.11 541,208 15.4% 62.3%
๐Ÿ‡ท๐Ÿ‡บ Russia 2.55 2.30 341,487 6.5% 13.3%
๐Ÿ‡ฌ๐Ÿ‡น Guatemala 1.39 1.14 78,350 9.3% 27.6%
๐Ÿ‡ฟ๐Ÿ‡ฒ Zambia 0.22 0.02 116,385 18.0% 8.6%

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis.

๐ŸŸข Good news: lower ICU need ๐Ÿ‡ญ๐Ÿ‡ท ๐Ÿ‡ญ๐Ÿ‡บ ๐Ÿ‡ฑ๐Ÿ‡น ๐Ÿ‡ฒ๐Ÿ‡ป ๐Ÿ‡ง๐Ÿ‡ฆ ๐Ÿ‡ฌ๐Ÿ‡ท ๐Ÿ‡ฒ๐Ÿ‡ช ๐Ÿ‡ณ๐Ÿ‡ต ๐Ÿ‡ง๐Ÿ‡ฌ ๐Ÿ‡ฑ๐Ÿ‡ป ๐Ÿ‡บ๐Ÿ‡ฆ ๐Ÿ‡ธ๐Ÿ‡ช ๐Ÿ‡ฒ๐Ÿ‡ฐ ๐Ÿ‡ต๐Ÿ‡ฑ ๐Ÿ‡จ๐Ÿ‡ป ๐Ÿ‡ง๐Ÿ‡ญ ๐Ÿ‡จ๐Ÿ‡ฟ ๐Ÿ‡ฎ๐Ÿ‡น ๐Ÿ‡ช๐Ÿ‡ช ๐Ÿ‡ณ๐Ÿ‡ฑ ๐Ÿ‡ธ๐Ÿ‡ฐ ๐Ÿ‡ฌ๐Ÿ‡ช ๐Ÿ‡จ๐Ÿ‡ท ๐Ÿ‡ง๐Ÿ‡ช ๐Ÿ‡ฉ๐Ÿ‡ช ๐Ÿ‡ฏ๐Ÿ‡ด ๐Ÿ‡ฎ๐Ÿ‡ณ ๐Ÿ‡ง๐Ÿ‡ธ ๐Ÿ‡ฆ๐Ÿ‡ฒ ๐Ÿ‡ท๐Ÿ‡ด ๐Ÿ‡ธ๐Ÿ‡ฎ ๐Ÿ‡ช๐Ÿ‡ธ ๐Ÿ‡ฑ๐Ÿ‡ง ๐Ÿ‡ฒ๐Ÿ‡ฉ ๐Ÿ‡ฆ๐Ÿ‡ฟ ๐Ÿ‡ฎ๐Ÿ‡ท ๐Ÿ‡จ๐Ÿ‡พ ๐Ÿ‡จ๐Ÿ‡ญ ๐Ÿ‡ง๐Ÿ‡ผ ๐Ÿ‡ฆ๐Ÿ‡น ๐Ÿ‡บ๐Ÿ‡ธ ๐Ÿ‡น๐Ÿ‡ท ๐Ÿ‡จ๐Ÿ‡ฆ ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡ต๐Ÿ‡ธ ๐Ÿ‡ท๐Ÿ‡ธ ๐Ÿ‡ฑ๐Ÿ‡บ ๐Ÿ‡ฆ๐Ÿ‡ท ๐Ÿ‡ฉ๐Ÿ‡ฐ ๐Ÿ‡ช๐Ÿ‡จ ๐Ÿ‡ฏ๐Ÿ‡ต ๐Ÿ‡ฑ๐Ÿ‡พ ๐Ÿ‡ณ๐Ÿ‡ด ๐Ÿ‡ฆ๐Ÿ‡ฑ ๐Ÿ‡ฏ๐Ÿ‡ฒ

Large decreases in need for ICU beds per 100k population vs. 10 days ago.

  • Only countries for which the ICU need decreased by more than 0.1 (per 100k).
Current:
Estimated
ICU need
per 100k
population		 10 days ago:
Estimated
ICU need
per 100k
population		 Estimated
recent cases
in last 5 days		 Estimated
daily
transmission
rate		 Estimated
total
affected
population
percentage
๐Ÿ‡ญ๐Ÿ‡ท Croatia 2.04 3.25 1,970 2.5% 21.5%
๐Ÿ‡ญ๐Ÿ‡บ Hungary 1.93 3.10 4,068 2.6% 40.6%
๐Ÿ‡ฑ๐Ÿ‡น Lithuania 2.06 3.21 1,093 2.1% 17.3%
๐Ÿ‡ฒ๐Ÿ‡ป Maldives 3.50 4.65 2,092 2.4% 22.6%
๐Ÿ‡ง๐Ÿ‡ฆ Bosnia 1.89 3.03 1,566 2.8% 39.2%
๐Ÿ‡ฌ๐Ÿ‡ท Greece 3.26 4.36 8,064 3.2% 11.5%
๐Ÿ‡ฒ๐Ÿ‡ช Montenegro 1.24 2.27 80 0.9% 40.0%
๐Ÿ‡ณ๐Ÿ‡ต Nepal 2.99 4.00 98,686 3.1% 18.5%
๐Ÿ‡ง๐Ÿ‡ฌ Bulgaria 1.73 2.66 2,810 3.0% 32.0%
๐Ÿ‡ฑ๐Ÿ‡ป Latvia 2.28 3.05 1,398 3.5% 15.7%
๐Ÿ‡บ๐Ÿ‡ฆ Ukraine 1.84 2.60 31,238 3.2% 18.3%
๐Ÿ‡ธ๐Ÿ‡ช Sweden 1.27 1.99 2,723 2.3% 24.2%
๐Ÿ‡ฒ๐Ÿ‡ฐ North Macedonia 1.14 1.85 1,026 4.1% 47.1%
๐Ÿ‡ต๐Ÿ‡ฑ Poland 0.94 1.61 7,753 2.0% 27.1%
๐Ÿ‡จ๐Ÿ‡ป Cabo Verde 1.93 2.59 1,375 3.6% 22.6%
๐Ÿ‡ง๐Ÿ‡ญ Bahrain 5.27 5.93 20,593 5.8% 46.1%
๐Ÿ‡จ๐Ÿ‡ฟ Czechia 1.07 1.65 2,863 3.3% 36.7%
๐Ÿ‡ฎ๐Ÿ‡น Italy 1.25 1.83 16,940 2.9% 21.1%
๐Ÿ‡ช๐Ÿ‡ช Estonia 1.00 1.55 231 1.8% 11.4%
๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands 1.25 1.78 5,911 2.6% 17.5%
๐Ÿ‡ธ๐Ÿ‡ฐ Slovakia 1.74 2.26 5,129 4.6% 27.3%
๐Ÿ‡ฌ๐Ÿ‡ช Georgia 3.51 4.01 9,130 5.4% 20.9%
๐Ÿ‡จ๐Ÿ‡ท Costa Rica 4.14 4.62 17,985 4.9% 22.3%
๐Ÿ‡ง๐Ÿ‡ช Belgium 1.27 1.73 4,105 3.2% 26.7%
๐Ÿ‡ฉ๐Ÿ‡ช Germany 0.81 1.27 13,606 2.2% 10.1%
๐Ÿ‡ฏ๐Ÿ‡ด Jordan 0.73 1.18 0 0.0% 60.0%
๐Ÿ‡ฎ๐Ÿ‡ณ India 1.23 1.68 1,862,584 2.9% 12.0%
๐Ÿ‡ง๐Ÿ‡ธ Bahamas 1.47 1.91 483 2.4% 21.8%
๐Ÿ‡ฆ๐Ÿ‡ฒ Armenia 1.06 1.50 2,042 4.3% 28.5%
๐Ÿ‡ท๐Ÿ‡ด Romania 0.74 1.12 4,332 3.0% 21.4%
๐Ÿ‡ธ๐Ÿ‡ฎ Slovenia 1.08 1.46 700 3.8% 27.7%
๐Ÿ‡ช๐Ÿ‡ธ Spain 1.31 1.68 26,099 4.9% 24.7%
๐Ÿ‡ฑ๐Ÿ‡ง Lebanon 0.70 1.06 3,405 3.4% 34.9%
๐Ÿ‡ฒ๐Ÿ‡ฉ Moldova 0.67 0.98 1,817 4.2% 34.8%
๐Ÿ‡ฆ๐Ÿ‡ฟ Azerbaijan 0.42 0.73 1,588 1.4% 19.0%
๐Ÿ‡ฎ๐Ÿ‡ท Iran 1.92 2.22 275,712 8.4% 48.9%
๐Ÿ‡จ๐Ÿ‡พ Cyprus 0.50 0.79 196 2.0% 6.1%
๐Ÿ‡จ๐Ÿ‡ญ Switzerland 0.61 0.90 1,253 2.3% 14.0%
๐Ÿ‡ง๐Ÿ‡ผ Botswana 1.04 1.33 923 4.1% 23.1%
๐Ÿ‡ฆ๐Ÿ‡น Austria 0.58 0.86 1,406 2.5% 12.9%
๐Ÿ‡บ๐Ÿ‡ธ US 0.84 1.12 146,763 4.7% 32.0%
๐Ÿ‡น๐Ÿ‡ท Turkey 0.79 1.05 60,684 4.3% 27.2%
๐Ÿ‡จ๐Ÿ‡ฆ Canada 0.52 0.78 5,507 2.1% 10.7%
๐Ÿ‡ฎ๐Ÿ‡ช Ireland 0.62 0.87 1,375 2.8% 17.5%
๐Ÿ‡ต๐Ÿ‡ธ West Bank and Gaza 0.65 0.90 4,428 4.6% 57.1%
๐Ÿ‡ท๐Ÿ‡ธ Serbia 0.44 0.67 1,314 2.6% 11.7%
๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 0.56 0.78 115 2.5% 17.2%
๐Ÿ‡ฆ๐Ÿ‡ท Argentina 9.85 10.07 415,794 8.2% 45.7%
๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark 0.98 1.16 2,243 3.1% 7.0%
๐Ÿ‡ช๐Ÿ‡จ Ecuador 2.07 2.25 67,750 8.4% 43.8%
๐Ÿ‡ฏ๐Ÿ‡ต Japan 0.37 0.49 11,500 3.0% 0.9%
๐Ÿ‡ฑ๐Ÿ‡พ Libya 0.57 0.68 6,307 4.2% 26.6%
๐Ÿ‡ณ๐Ÿ‡ด Norway 0.35 0.46 732 2.7% 2.8%
๐Ÿ‡ฆ๐Ÿ‡ฑ Albania 0.12 0.22 52 1.0% 15.6%
๐Ÿ‡ฏ๐Ÿ‡ฒ Jamaica 0.52 0.62 2,801 1.9% 7.3%

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis.

New cases and deaths:

โญ• Bad news: new first significant outbreaks ๐Ÿ‡ซ๐Ÿ‡ฏ

Countries that have started their first significant outbreak (crossed 1000 total reported cases or 20 deaths) vs. 10 days ago.

Current:
Estimated
daily
transmission
rate		 10 days ago:
Estimated
daily
transmission
rate		 Estimated
recent cases
in last 5 days		 Estimated
current
ICU need
per 100k
population		 Estimated
total
affected
population
percentage
๐Ÿ‡ซ๐Ÿ‡ฏ Fiji 8.6% - 345 0.14 0.2%

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis.

๐ŸŸข Good news: no new cases or deaths

New countries with no new cases or deaths vs. 10 days ago.

  • Only considering countries that had at least 1000 estimated total cases and at least 10 total deaths and had an active outbreak previously.
Estimated
total
cases		 Total
reported
deaths		 Date
of last
reported case		 Date
of last
reported death

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis.

Mixed news: no new deaths, only new cases ๐Ÿ‡ฎ๐Ÿ‡ช ๐Ÿ‡จ๐Ÿ‡ฎ ๐Ÿ‡จ๐Ÿ‡ณ ๐Ÿ‡ฑ๐Ÿ‡บ ๐Ÿ‡ฒ๐Ÿ‡บ ๐Ÿ‡ฆ๐Ÿ‡บ ๐Ÿ‡ง๐Ÿ‡ฟ ๐Ÿ‡ง๐Ÿ‡ฏ ๐Ÿ‡ฑ๐Ÿ‡ธ ๐Ÿ‡ณ๐Ÿ‡ฟ ๐Ÿ‡ฐ๐Ÿ‡ฒ ๐Ÿ‡ฒ๐Ÿ‡น ๐Ÿ‡ฉ๐Ÿ‡ฏ ๐Ÿ‡ณ๐Ÿ‡ช ๐Ÿ‡ง๐Ÿ‡ซ ๐Ÿ‡จ๐Ÿ‡ซ

New countries with no new deaths (only new cases) vs. 10 days ago.

  • Only considering countries that had at least 1000 estimated total cases and at least 10 total deaths and had an active outbreak previously.
Current:
Estimated
daily
transmission
rate		 10 days ago:
Estimated
daily
transmission
rate		 Estimated
recent cases
in last 5 days		 Estimated
current
ICU need
per 100k
population		 Estimated
total
affected
population
percentage
๐Ÿ‡ฎ๐Ÿ‡ช Ireland 2.8% 2.4% 1,375 0.62 17.5%
๐Ÿ‡จ๐Ÿ‡ฎ Cote d'Ivoire 1.1% 3.0% 151 0.00 1.1%
๐Ÿ‡จ๐Ÿ‡ณ China 5.3% 5.7% 122 0.00 0.1%
๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg 2.5% 3.0% 115 0.56 17.2%
๐Ÿ‡ฒ๐Ÿ‡บ Mauritius 9.3% 7.7% 286 0.10 0.3%
๐Ÿ‡ฆ๐Ÿ‡บ Australia 3.6% 4.6% 38 0.00 0.4%
๐Ÿ‡ง๐Ÿ‡ฟ Belize 5.5% 5.8% 29 0.05 39.8%
๐Ÿ‡ง๐Ÿ‡ฏ Benin 4.7% 3.0% 281 0.00 0.7%
๐Ÿ‡ฑ๐Ÿ‡ธ Lesotho 3.0% 0.5% 20 0.01 8.0%
๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand 6.5% 5.2% 18 0.00 0.1%
๐Ÿ‡ฐ๐Ÿ‡ฒ Comoros 6.3% 2.2% 293 0.06 14.6%
๐Ÿ‡ฒ๐Ÿ‡น Malta 1.4% 2.3% 9 0.12 12.7%
๐Ÿ‡ฉ๐Ÿ‡ฏ Djibouti 0.7% 1.1% 47 0.11 9.1%
๐Ÿ‡ณ๐Ÿ‡ช Niger 1.6% 1.6% 240 0.01 0.9%
๐Ÿ‡ง๐Ÿ‡ซ Burkina Faso 1.6% 2.2% 71 0.00 0.9%
๐Ÿ‡จ๐Ÿ‡ซ CAR (Africa) 0.0% 0.3% 0 0.02 2.0%

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis.

No news: continously inactive countries ๐Ÿ‡น๐Ÿ‡ฟ ๐Ÿ‡น๐Ÿ‡ฏ ๐Ÿ‡ธ๐Ÿ‡ธ ๐Ÿ‡ฎ๐Ÿ‡ธ

Countries that had no new cases or deaths 10 days ago or now.

  • Only considering countries that had at least 1000 estimated total cases and at least 10 total deaths.
  • Caveat:these countries may have stopped reporting data like Tanzania.
Estimated
total
cases		 Total
reported
deaths		 Date
of last
reported case		 Date
of last
reported death
๐Ÿ‡น๐Ÿ‡ฟ Tanzania 21,802 21 2020-05-08 2020-05-08
๐Ÿ‡น๐Ÿ‡ฏ Tajikistan 70,607 90 2021-01-10 2020-12-26
๐Ÿ‡ธ๐Ÿ‡ธ South Sudan 93,582 115 2021-05-27 2021-04-30
๐Ÿ‡ฎ๐Ÿ‡ธ Iceland 6,555 29 2021-05-20 2020-12-29

Tip: Click country name in legend to switch countries. Uze mouse wheel to zoom Y axis.

Deaths burden:

โญ• Bad news: higher death burden ๐Ÿ‡ท๐Ÿ‡ด ๐Ÿ‡ต๐Ÿ‡ฆ ๐Ÿ‡น๐Ÿ‡ผ

Countries with significantly higher recent death burden per 100k population vs. 10 days ago.

  • "Significantly higher" = 100% more.
  • Only considering countries that had at least 10 recent deaths in both timeframes, and death burden of at least 0.1 per 100k.
Current:
5 day
death
burden
per 100k		 10 days ago:
5 day
death
burden
per 100k		 New
reported deaths
since 10
days ago		 Estimated
current
ICU need
per 100k
population		 Estimated
total
affected
population
percentage
๐Ÿ‡ท๐Ÿ‡ด Romania 3.37 0.87 1389 0.7 21.4%
๐Ÿ‡ต๐Ÿ‡ฆ Panama 0.72 0.28 58 1.0 44.7%
๐Ÿ‡น๐Ÿ‡ผ Taiwan* 0.43 0.21 262 0.5 0.4%

๐ŸŸข Good news: lower death burden ๐Ÿ‡ง๐Ÿ‡ญ ๐Ÿ‡ง๐Ÿ‡ฆ ๐Ÿ‡ง๐Ÿ‡ฌ ๐Ÿ‡ฑ๐Ÿ‡น ๐Ÿ‡ด๐Ÿ‡ฒ ๐Ÿ‡ฒ๐Ÿ‡ฝ ๐Ÿ‡ญ๐Ÿ‡บ ๐Ÿ‡ธ๐Ÿ‡ฐ ๐Ÿ‡ง๐Ÿ‡ช

Countries with significantly lower recent death burden per 100k population vs. 10 days ago.

  • "Significantly lower" = 50% less
  • Only considering countries that had at least 10 recent deaths in both timeframes, and death burden of at least 0.1 per 100k.
Current:
5 day
death
burden
per 100k		 10 days ago:
5 day
death
burden
per 100k		 New
reported deaths
since 10
days ago		 Estimated
current
ICU need
per 100k
population		 Estimated
total
affected
population
percentage
๐Ÿ‡ง๐Ÿ‡ญ Bahrain 2.65 5.41 175 5.3 46.1%
๐Ÿ‡ง๐Ÿ‡ฆ Bosnia 0.58 2.81 176 1.9 39.2%
๐Ÿ‡ง๐Ÿ‡ฌ Bulgaria 0.55 1.30 151 1.7 32.0%
๐Ÿ‡ฑ๐Ÿ‡น Lithuania 0.66 1.40 52 2.1 17.3%
๐Ÿ‡ด๐Ÿ‡ฒ Oman 0.65 1.31 97 2.0 34.0%
๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico 0.77 3.64 1951 2.4 62.3%
๐Ÿ‡ญ๐Ÿ‡บ Hungary 0.22 0.67 130 1.9 40.6%
๐Ÿ‡ธ๐Ÿ‡ฐ Slovakia 0.24 0.60 70 1.7 27.3%
๐Ÿ‡ง๐Ÿ‡ช Belgium 0.26 0.53 99 1.3 26.7%

Appendix:

Note: For interactive map, per country details, projections, and modeling methodology see Projections of ICU need by Country dashboard

Warning: the visualisation below contains the results of a predictive model that was not built by an epidemiologist.

Future model projections plots per country

For countries in any of the above groups.

Tip: Choose country from the drop-down below the graph.

World totals:

Infected ๐Ÿ˜ท: 0.8%, Removed ๐Ÿ˜”: 12.6%, Susceptible ๐Ÿ˜Ÿ: 86.6%

Future World projections (all countries stacked)

The outputs of the models for all countries in stacked plots.

Tip: Hover the mouse of the area to see which country is which and the countries S/I/R ratios at that point.
Tip: The plots are zoomable and draggable.

World total estimated actively infected

World total estimated recovered or dead

Methodology

  • I'm not an epidemiologist. This is an attempt to understand what's happening, and what the future looks like if current trends remain unchanged.
  • Everything is approximated and depends heavily on underlying assumptions.
  • Transmission rate calculation:
    • Growth rate is calculated over the 5 past days by averaging the daily growth rates.
    • Confidence bounds are calculated from the weighted standard deviation of the growth rate over the last 5 days. Model predictions are calculated for growth rates within 1 STD of the weighted mean. The maximum and minimum values for each day are used as confidence bands. Countries with highly noisy transmission rates are exluded from tranmission rate change tables ("new waves", "slowing waves").
    • Transmission rate, and its STD are calculated from growth rate and its STD using active cases estimation.
    • For projections (into future) very noisy projections (with broad confidence bounds) are not shown in the tables.
    • Where the rate estimated from Total Outstanding Cases is too high (on down-slopes) recovery probability if 1/20 is used (equivalent 20 days to recover).
  • Total cases are estimated from the reported deaths for each country:
    • Each country has a different testing policy and capacity and cases are under-reported in some countries. Using an estimated IFR (fatality rate) we can estimate the number of cases some time ago by using the total deaths until today.
    • IFRs for each country is estimated using the age adjusted IFRs from May 1 New York paper and UN demographic data for 2020. These IFRs can be found in df['age_adjusted_ifr'] column. Some examples: US - 0.98%, UK - 1.1%, Qatar - 0.25%, Italy - 1.4%, Japan - 1.6%.
    • The average fatality lag is assumed to be 8 days on average for a case to go from being confirmed positive (after incubation + testing lag) to death. This is the same figure used by "Estimating The Infected Population From Deaths".
    • Testing bias adjustment: the actual lagged fatality rate is than divided by the IFR to estimate the testing bias in a country. The estimated testing bias then multiplies the reported case numbers to estimate the true case numbers (=case numbers if testing coverage was as comprehensive as in the heavily tested countries).
  • ICU need is calculated and age-adjusted as follows:
    • UK ICU ratio was reported as 4.4% of active reported cases.
    • Using UKs ICU ratio, UK's testing bias, and IFRs corrected for age demographics we can estimate each country's ICU ratio (the number of cases requiring ICU hospitalisation).